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  2. Joanna Gaines' Target line is up to 20% off! Refresh your ...

    www.aol.com/lifestyle/joanna-gaines-target-line...

    Joanna Gaines' Target line is up to 20% off! Refresh your home for spring with new bedding, cookware and more. Ellie Conley. May 11, 2024 at 4:41 AM. ... In addition to the deals, orders over $35 ...

  3. Strawberry shortcake and foreign travel: How the yen’s record ...

    www.aol.com/strawberry-shortcake-foreign-travel...

    Strawberry shortcake is a popular treat in Japan. In US dollar terms, a slice now costs $5.5 versus $8 four years ago. - Himari Semans for CNN

  4. Holi - Wikipedia

    en.wikipedia.org/wiki/Holi

    Holi is a sacred ancient tradition of Hindus, a holiday in many states of India and Nepal with regional holidays in other countries. It is a cultural celebration that gives Hindus and non-Hindus alike an opportunity to have fun banter with other people by throwing coloured water and powder at each other.

  5. 7-Eleven - Wikipedia

    en.wikipedia.org/wiki/7-Eleven

    7-Eleven, Inc. 7-Eleven, Inc. [2] is an American convenience store chain, headquartered in Irving, Texas and owned by Japanese company Seven & I Holdings through Seven-Eleven Japan Co., Ltd. [3] The chain was founded in 1927 as an ice house storefront in Dallas. It was named Tote'm Stores between 1928 and 1946.

  6. Myocardial infarction - Wikipedia

    en.wikipedia.org/wiki/Myocardial_infarction

    A myocardial infarction ( MI ), commonly known as a heart attack, occurs when blood flow decreases or stops in one of the coronary arteries of the heart, causing infarction (tissue death) to the heart muscle. [1] The most common symptom is retrosternal chest pain or discomfort that classically radiates to the left shoulder, arm, or jaw. [1]

  7. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    v. t. e. Convolutional neural network ( CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) optimization. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer connections.

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